A technology services client of ours is looking for an MLOps Engineer for their ongoing projects.
**Below are the additional details of this role:
Required Qualifications:**
- Must have experience with Python, Docker, ML Ops, and ML Engineering (mandatory). REST Microservices. Flask or FastAPI.
- 1+ years of experience maintaining legacy codebases.
- Familiarity with model lifecycle management and production inference environments.
- Intermediate knowledge of ML model deployment and lifecycle management alongside standard python ML PackagesWorking knowledge of logging/monitoring tools (Splunk, Wavefront).
- Ability to collaborate cross-functionally
This role can be W2 or 1099/C2C and open for USC/GC/H1B/H4 EAD resources.
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